LENOVO 10TX0010UK
Geekbench AI Score
2894
Single Precision Score
2862
Half Precision Score
4707
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 28 2025 12:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10TX0010UK |
| Motherboard | LENOVO 3140 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
1878
349.3 IPS |
|
|
Image Classification (Q)
|
100% |
3045
566.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4375
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
8307
9.74 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (Q)
|
87% |
3179
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
8173
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4916
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5039
38.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8778
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11844
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11600
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23767
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2428
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4820
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (Q)
|
91% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2586
44.6 IPS |
